Ruído visual dinâmico afeta a tarefa de imagem mental com base no paradigma de retro-dica
DOI:
https://doi.org/10.15448/1980-8623.2024.1.42132Keywords:
Mental image, Working memory, Attention, ConsciousnessAbstract
The retro-cue effect (RCE) is known in memory tasks to produce an increase in accuracy and decrease in response time. The retro-cue brings the information to the focus of attention in an active state, but it is not known whether it is retrieved as a conscious mental image. In this study, we investigated whether the retro-cue brings the cued item to an active state, allowing its phenomenological consciousness. In each trial, the participants rated the vividness of the retro-cued item and then recognized it. Perceptual visual interference was used to certify the visual nature of the retrieved items. Our results showed a significant RCE in memory recognition, but not in the vividness rating. The mental image vividness and the recognition tasks are based on different cognitive processes and are subject to different interferences, but despite the different cognitive processes, there is a correlation between them.
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Albers, A. M., Kok, P., Toni, I., Dijkerman, H. C., & de Lange, F. P. (2013). Shared Representations for Working Memory and Mental Imagery in Early Visual Cortex. Current Biology, 23(15), 1427-1431. https://doi.org/10.1016/j.cub.2013.05.065 DOI: https://doi.org/10.1016/j.cub.2013.05.065
Amedi, A., Malach, R., & Pascual-Leone, A. (2005). Negative BOLD Differentiates Visual Imagery and Perception. Neuron, 48(5), 859-872. https://doi.org/10.1016/j.neuron.2005.10.032 DOI: https://doi.org/10.1016/j.neuron.2005.10.032
Baddeley, A. (2007). Working memory, thought, and action. (pp. xviii, 412). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198528012.001.0001 DOI: https://doi.org/10.1093/acprof:oso/9780198528012.001.0001
Baddeley, A. D., & Andrade, J. (2000). Working memory and the vividness of imagery. Journal of Experimental Psychology: General, 129(1), 126-145. https://doi.org/10.1037/0096-3445.129.1.126 DOI: https://doi.org/10.1037//0096-3445.129.1.126
Bona, S., Cattaneo, Z., Vecchi, T., Soto, D., & Silvanto, J. (2013). Metacognition of visual short-term memory: Dissociation between objective and subjective components of VSTM. Frontiers in Psychology, 4. https://doi.org/10.3389/fpsyg.2013.00062 DOI: https://doi.org/10.3389/fpsyg.2013.00062
Bona, S., & Silvanto, J. (2014). Accuracy and Confidence of Visual Short-Term Memory Do Not Go Hand-In-Hand: Behavioral and Neural Dissociations. PLOS ONE, 9(3), e90808. https://doi.org/10.1371/journal.pone.0090808 DOI: https://doi.org/10.1371/journal.pone.0090808
Cui, X., Jeter, C., Yang, D., Montague, P., & Eagleman, D. (2007). Vividness of mental imagery: Individual variability can be measured objectively. Vision Research, 47(4), 474-478. DOI: https://doi.org/10.1016/j.visres.2006.11.013
D’Angiulli, A., & Reeves, A. (2002). Generating visual mental images: Latency and vividness are inversely related. Memory & Cognition, 30(8), 1179-1188. https://doi.org/10.3758/BF03213401 DOI: https://doi.org/10.3758/BF03213401
Dijkstra, N., Bosch, S. E., & van Gerven, M. A. (2019). Shared neural mechanisms of visual perception and imagery. Trends in Cognitive Sciences, 23(5), 423-434. DOI: https://doi.org/10.1016/j.tics.2019.02.004
Dijkstra, N., Bosch, S. E., & van Gerven, M. A. J. (2017). Vividness of visual imagery depends on the neural overlap with perception in visual areas. Journal of Neuroscience, 37(5), 1367-1373. https://doi.org/10.1523/JNEUROSCI.3022-16.2016 DOI: https://doi.org/10.1523/JNEUROSCI.3022-16.2016
El Haj, M., Gallouj, K., & Antoine, P. (2019). Mental imagery and autobiographical memory in Alzheimer’s disease. Neuropsychology, 33(5), 609. DOI: https://doi.org/10.1037/neu0000521
Gayet, S., Guggenmos, M., Christophel, T. B., Haynes, J.-D., Paffen, C. L., Van der Stigchel, S., & Sterzer, P. (2017). Visual working memory enhances the neural response to matching visual input. Journal of Neuroscience, 37(28), 6638-6647. DOI: https://doi.org/10.1523/JNEUROSCI.3418-16.2017
Griffin, I. C., & Nobre, A. C. (2003). Orienting Attention to Locations in Internal Representations. Journal of Cognitive Neuroscience, 15(8), 1176-1194. https://doi.org/10.1162/089892903322598139 DOI: https://doi.org/10.1162/089892903322598139
Hassin, R. R., Bargh, J. A., Engell, A. D., & McCulloch, K. C. (2009). Implicit working memory. Consciousness and Cognition, 18(3), 665-678. https://doi.org/10.1016/j.concog.2009.04.003 DOI: https://doi.org/10.1016/j.concog.2009.04.003
Huang Y, Pollick F, Liu M, Zhang D. (2021) Shared and Independent Neural Representation Between Visual Perception and Mental Imagery. Research Square. https://doi.org/10.21203/rs.3.rs-788978/v1 DOI: https://doi.org/10.21203/rs.3.rs-788978/v1
Jacob, J., Jacobs, C., & Silvanto, J. (2015). Attention, working memory, and phenomenal experience of WM content: Memory levels determined by different types of top-down modulation. Frontiers in Psychology, 6, 1603-1603. https://doi.org/10.3389/fpsyg.2015.01603 DOI: https://doi.org/10.3389/fpsyg.2015.01603
Jacobs, C., Schwarzkopf, D. S., & Silvanto, J. (2018). Visual working memory performance in aphantasia. Cortex, 105, 61-73. DOI: https://doi.org/10.1016/j.cortex.2017.10.014
Jacobs, C., & Silvanto, J. (2015). How is working memory content consciously experienced? The ‘conscious copy’ model of WM introspection. Neuroscience & Biobehavioral Reviews, 55, 510-519. https://doi.org/10.1016/j.neubiorev.2015.06.003 DOI: https://doi.org/10.1016/j.neubiorev.2015.06.003
Keogh, R., & Pearson, J. (2014). The sensory strength of voluntary visual imagery predicts visual working memory capacity. Journal of Vision, 14(12), 7-7. https://doi.org/10.1167/14.12.7 DOI: https://doi.org/10.1167/14.12.7
Keogh, R., & Pearson, J. (2018). The blind mind: No sensory visual imagery in aphantasia. The Eye’s Mind - Visual Imagination, Neuroscience and the Humanities, 105, 53-60. https://doi.org/10.1016/j.cortex.2017.10.012 DOI: https://doi.org/10.1016/j.cortex.2017.10.012
Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2, 635. DOI: https://doi.org/10.1038/35090055
Kreiman, G., Koch, C., & Fried, I. (2000). Imagery neurons in the human brain. Nature, 408, 357. DOI: https://doi.org/10.1038/35042575
Lepsien, J., & Nobre, A. C. (2006). Cognitive control of attention in the human brain: Insights from orienting attention to mental representations. Control of Attention and Actions, 1105(1), 20-31. https://doi.org/10.1016/j.brainres.2006.03.033 DOI: https://doi.org/10.1016/j.brainres.2006.03.033
Li, Z., Tong, M., Chen, S., & Qian, J. (2021). Effect of attentional selection on working memory for depth in a retro-cueing paradigm. Memory & Cognition, 49(4), 747-757. DOI: https://doi.org/10.3758/s13421-020-01123-4
Makovski, T., & Jiang, Y. (2008). Distributing versus focusing attention in visual short-term memory. Psychonomic Bulletin & Review, 14, 1072-1078. https://doi.org/10.3758/BF03193093 DOI: https://doi.org/10.3758/BF03193093
Marks, D. F. (1973). Visual imagery differences in the recall of pictures. British Journal of Psychology, 64(1), 17-24. https://doi.org/10.1111/j.2044-8295.1973.tb01322.x DOI: https://doi.org/10.1111/j.2044-8295.1973.tb01322.x
McConnell, J., & Quinn, J. G. (2000). Interference in Visual Working Memory. The Quarterly Journal of Experimental Psychology Section A, 53(1), 53-67. https://doi.org/10.1080/713755873 DOI: https://doi.org/10.1080/713755873
Nanay, B. (2018). Multimodal mental imagery. Cortex, 105, 125-134. DOI: https://doi.org/10.1016/j.cortex.2017.07.006
Nanay, B. (2021). Unconscious mental imagery. Philosophical Transactions of the Royal Society B, 376(1817), 20190689. DOI: https://doi.org/10.1098/rstb.2019.0689
Niklaus, M., Singmann, H., & Oberauer, K. (2019). Two distinct mechanisms of selection in working memory: Additive last-item and retro-cue benefits. Cognition, 183, 282-302. DOI: https://doi.org/10.1016/j.cognition.2018.11.015
Pearson, D. G. (2001). Imagery and the visuo-spatial sketchpad. In Working memory in perspective (pp. 33-59). Psychology Press. DOI: https://doi.org/10.4324/9780203194157_chapter_2
Pearson, J. (2019). The human imagination: The cognitive neuroscience of visual mental imagery. Nature Reviews Neuroscience, 20(10), 624–634. DOI: https://doi.org/10.1038/s41583-019-0202-9
Pearson, J., Rademaker, R. L., & Tong, F. (2011). Evaluating the Mind’s Eye: The Metacognition of Visual Imagery. Psychological Science, 22(12), 1535-1542. https://doi.org/10.1177/0956797611417134 DOI: https://doi.org/10.1177/0956797611417134
Pounder, Z., Jacob, J., Evans, S., Loveday, C., Eardley, A., & Silvanto, J. (2021). Individuals with congenital aphantasia show no significant neuropsychological deficits on imagery-related memory tasks. PsyArXiv, 1-22. DOI: https://doi.org/10.31234/osf.io/gqayt
Quinn, J. G., & McConnell, J. (2006). The interval for interference in conscious visual imagery. Memory, 14(2), 241-252. https://doi.org/10.1080/09658210500210019 DOI: https://doi.org/10.1080/09658210500210019
Runge, M. S., Cheung, M. W., & D’Angiulli, A. (2017). Meta-analytic comparison of trial-versus questionnaire-based vividness reportability across behavioral, cognitive and neural measurements of imagery. Neuroscience of Consciousness, 2017(1), nix006. DOI: https://doi.org/10.1093/nc/nix006
Schneider, W., Eschman, A., & Zuccolotto, A. (2002). E-Prime: A user’s guide. Psychology Software Tools.
Sheldon, S., Amaral, R., & Levine, B. (2017). Individual differences in visual imagery determine how event information is remembered. Memory, 25(3), 360-369. https://doi.org/10.1080/09658211.2016.1178777 DOI: https://doi.org/10.1080/09658211.2016.1178777
Snodgrass, J. G., & Corwin, J. (1988). Pragmatics of measuring recognition memory: Applications to dementia and amnesia. Journal of Experimental Psychology: General, 117(1), 34-50. https://doi.org/10.1037/0096-3445.117.1.34 DOI: https://doi.org/10.1037//0096-3445.117.1.34
Soto, D., Mäntylä, T., & Silvanto, J. (2011). Working memory without consciousness. Current Biology, 21(22), R912–R913. https://doi.org/10.1016/j.cub.2011.09.049 DOI: https://doi.org/10.1016/j.cub.2011.09.049
Souza, A. S., & Oberauer, K. (2016). In search of the focus of attention in working memory: 13 years of the retro-cue effect. Attention, Perception, & Psychophysics, 78(7), 1839-1860. https://doi.org/10.3758/s13414-016-1108-5 DOI: https://doi.org/10.3758/s13414-016-1108-5
Souza, A. S., Rerko, L., & Oberauer, K. (2016). Getting more from visual working memory: Retro-cues enhance retrieval and protect from visual interference. Journal of Experimental Psychology: Human Perception and Performance, 42(6), 890. DOI: https://doi.org/10.1037/xhp0000192
Thompson, E. (2007). Look again: Phenomenology and mental imagery. Phenomenology and the Cognitive Sciences, 6(1–2). DOI: https://doi.org/10.1007/s11097-006-9031-1
Valenti, L., & Galera, C. (2020). Dynamic visual noise has the same effect on visual memory and visual imagery tasks. Psychology & Neuroscience, 13(1), 114-125. https://doi.org/10.1037/pne0000183 DOI: https://doi.org/10.1037/pne0000183
van der Meulen, M., Logie, R. H., & Sala, S. D. (2009). Selective interference with image retention and generation: Evidence for the workspace model. Quarterly Journal of Experimental Psychology, 62(8), 1568-1580. https://doi.org/10.1080/17470210802483800 DOI: https://doi.org/10.1080/17470210802483800
Wilson, A. C., Schwannauer, M., McLaughlin, A., Ashworth, F., & Chan, S. W. (2018). Vividness of positive mental imagery predicts positive emotional response to visually presented Project Soothe pictures. British Journal of Psychology, 109(2), 259-276. DOI: https://doi.org/10.1111/bjop.12267
Zerr, P., Gayet, S., van den Esschert, F., Kappen, M., Olah, Z., & Van der Stigchel, S. (2021). The development of retro-cue benefits with extensive practice: Implications for capacity estimation and attentional states in visual working memory. Memory & Cognition, 1-14. DOI: https://doi.org/10.3758/s13421-021-01138-5
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